class_docstr: provide context to allow param_info to have different normalizers
code: def has_normalizer(self, name):
      return self._has_modifier(name)
  
file_path: pytorch/caffe2/python/normalizer_context.py
imports: from caffe2.python import context
  from caffe2.python.modifier_context import ModifierContext, UseModifierBase
label_desc: Use image node_id 1 for calling the NormalizerContext obj's underlying member method code with example usage: obj.has_normalizer(name) and returns: self